|
參考文獻 中文部分 1.T客邦(2015),行動支付大補帖,一次就讓你看懂,科技新報,http://technews.tw/2015/05/06/nfc-smart-phone/,2019/02/02。 2.Wendy(2017),分享次數一次看懂行動支付:什麼是遠端支付、近端支付?國內有哪些方案?,T客邦,https://www.techbang.com/posts/23218-a-read-operation-pay-basic-concepts-solutions-graphic-all-set-pchome231-touch-the-future-author-zhang-yajun,2019/03/03。 3.小丰子(2016),淺談HCE、TSM、Apple Pay行動支付,電腦王阿達,https://www.kocpc.com.tw/archives/122272,2019/02/03。 4.吳亞馨、朱素玥、方文昌(2008年01月),網路購物信任與科技接受模式之實證研究,資訊管理學報,第十五卷,第一期,第123-152頁。 5.金融監督管理委員會,金融科技發展策略白皮書,線上資料,金融監督管理委員會,https://www.fsc.gov.tw/ch/home.jsp?id=517&parentpath=0,7,478,2019/01/17。 6.翁世吉、田育任(2014),〈「行動商務」支付應用發展趨勢〉,《財金資訊季刊》,第七十八期,線上資料,財金資訊股份有限公司,www.fisc.com.tw,2019/01/17。 7.資策會(2018),【行動支付大調查一】近四成手機用戶曾使用行動支付 LINE Pay、Apple Pay認知度最高,資策會產業情報研究所,https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=486,2019/02/02。 8.資策會(2019),【行動支付大調查】消費者愛好排名變動本土業者成長幅度最大,資策會產業情報研究所,https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=504,2019/02/01。 9.資策會(2019),行動支付用戶 26歲至35歲成長幅度最大,資策會產業情報研究所,https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=519,2019/08/09。 10.維基百科(2019),QR碼,https://zh.wikipedia.org/wiki/QR%E7%A2%BC,2019/03/03。 11.劉胖胖(2014),圖解NFC行動支付與相關生態系 並比較TSM、HCE間的差異,手機王,https://www.sogi.com.tw/articles/%E5%9C%96%E8%A7%A3NFC%E8%A1%8C%E5%8B%95%E6%94%AF%E4%BB%98%E8%88%87%E7%9B%B8%E9%97%9C%E7%94%9F%E6%85%8B%E7%B3%BB_%E4%B8%A6%E6%AF%94%E8%BC%83TSM_HCE%E9%96%93%E7%9A%84%E5%B7%AE%E7%95%B0/6235614,2019/02/02。 12.雙寶娘(2016),在中國,身無分文的行動支付極為方便,卻影響了孩子的金錢觀,天下雜誌,https://crossing.cw.com.tw/blogTopic.action?id=656&nid=6620,2019/08/09。 英文部分 1.Ajzen, I. (1985). From intentions to actions: A theory of planned behavior, New York: Springer. 2.Ajzen, I. (1991). The theory of planned behavior, Organizational behavior and human decision processes, 50(2), 179-211. 3.Ajzen, I. (2002). Constructing a TPB questionnaire: Conceptual and methodological considerations. 4.Alryalat, M. A. A., Rana, N. P., & Dwivedi, Y. K. (2015). Citizen's adoption of an E-Government system: Validating the extended theory of reasoned action (TRA), International Journal of Electronic Government Research, 11(4), 1-23. 5.Anderson, R. E., & Srinivasan, S. S. (2003). E-satisfaction and e-loyalty: A contingency framework, Psychology & Marketing, 20(2), 123-138. 6.Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model, MIS quarterly, 25(3)351-370. 7.Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests Psychometrika, 16(3),297-334. 8.Davidow, M. (2000). The Bottom Line Impact of Organizational Responses to Customer Complaints, Journal of Hospitality & Tourism Research, 24(4), 473-490. 9.Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS quarterly, 13(3), 319-340. 10.Devaraj, S., Fan, M., & Kohli, R. (2002). Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics, Information Systems Research, 13(3), 316-333. 11.Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research, MA:Addison-Wesley. 12.Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: an integrated model, MIS quarterly, 27(1), 51-90. 13.Heidenreich, S., & Handrich, M. (2015). What about passive innovation resistance? Investigating adoption‐related behavior from a resistance perspective, Journal of Product Innovation Management, 32(6), 878-903. 14.Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS quarterly, 23(2), 183-213. 15.Krishna Moorthy, Ching Suet Ling, Yeong Weng Fatt, Chan Mun Yee, Elaine Chong Ket Yin, Kwa Sin Yee and Lee Kok Wei (2017). Barriers of mobile commerce adoption intention: perceptions of generation X in Malaysia, Journal of theoretical and applied electronic commerce research, 12(2), 37-53. 16.Laukkanen, T. (2016). Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking, Journal of Business Research, 69(7), 2432-2439. 17.Laukkanen, T., Sinkkonen, S., Kivijärvi, M., & Laukkanen, P. (2007). Innovation resistance among mature consumers, Journal of consumer marketing, 24(7), 419-427. 18.Lian, J.-W., Liu, H.-M., & Liu, I.-L. (2012). Applying innovation resistance theory to understand user acceptance of online shopping: The moderating effect of different product types, Computer Technology and Application, 3(2),188-193. 19.Lin, C.-P., Tsai, Y. H., & Chiu, C.-K. (2009). Modeling customer loyalty from an integrative perspective of self-determination theory and expectation–confirmation theory, Journal of Business and Psychology, 24(3), 315-326. 20.Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective, Information & Management, 48(8), 393-403. 21.Mathieson, K. (1991a). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior, Information Systems Research, 2(3),173-191. 22.Mathieson, K. (1991b). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior, Information Systems Research, 2(3), 173-191. 23.Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation, Information Systems Research, 2(3), 192-222. 24.Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions, Journal of marketing research, 17(4), 460-469. 25.Park, Y., & Chen, J. V. (2007). Acceptance and adoption of the innovative use of smartphone, Industrial Management & Data Systems, 107(9), 1349-1365. 26.Plouffe, C. R., Hulland, J. S., & Vandenbosch, M. (2001). Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System, Information Systems Research, 12(2), 208-222. 27.Ram, S. (1989). Successful innovation using strategies to reduce consumer resistance An empirical test, Journal of Product Innovation Management, 6(1), 20-34. 28.Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: the marketing problem and its solutions, Journal of consumer marketing, 6(2), 5-14. 29.Rammile, N., & Nel, J. (2012). Understanding resistance to cell phone banking adoption through the application of the technology acceptance model (TAM), African Journal of Business Management, 6(1), 86-97. 30.Rezaei-Moghaddam, K., & Salehi, S. (2010). Agricultural specialists’ intention toward precision agriculture technologies: Integrating innovation characteristics to technology acceptance model, African Journal of Agricultural Research, 5(11), 1191-1199. 31.Rogers, E. M. (2003). Elements of diffusion. Diffusion of innovations (3rd edition),USA:The Free Press. 32.Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis, Electronic commerce research and applications, 9(3), 209-216. 33.Seong DoChoa and Dae RyunChang (2008), Salesperson's innovation resistance and job satisfaction in intra-organizational diffusion of sales force automation technologies: The case of South Korea, Industrial Marketing Management, 37(7), 841-847. 34.Sheth, J. N., & Stellner, W. H. (1981). Psychology of innovation resistance: The less developed concept (LDC) in diffusion research: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign Urbana-Champaign, IL. 35.Szmigin, I., & Foxall, G. (1998). Three forms of innovation resistance: the case of retail payment methods, Technovation, 18(6-7), 459-468. 36.Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models, Information Systems Research, 6(2), 144-176. 37.Tu, C.-C., Fang, K., & Lin, C.-Y. (2012). Perceived Ease of Use, Trust, and Satisfaction as Determinants of Loyalty in e-Auction Marketplace, Journal Of Computers, 7(3), 645-652. 38.Van Slyke, C., Lou, H., & Day, J. (2002). The impact of perceived innovation characteristics on intention to use groupware, Information Resources Management Journal, 15(1), 1-12. 39.Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model, Information Systems Research, 11(4), 342-365.
|